Triple
T21484640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reformed academies |
E530084
|
entity |
| Predicate | typicalFacultyRank |
P298
|
FINISHED |
| Object | professor of theology |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: professor of theology | Statement: [Reformed academies, typicalFacultyRank, professor of theology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFacultyRank Context triple: [Reformed academies, typicalFacultyRank, professor of theology]
-
A.
typeOfFaculty
Indicates the specific category or classification of faculty to which an academic staff member belongs (e.g., department, school, or faculty type).
-
B.
typicalInstructorPosition
Indicates the usual or standard job position or role that an instructor typically holds.
-
C.
hasAcademicRank
chosen
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
D.
isCoreFacultyOf
Indicates that a person holds a primary, central, and ongoing faculty appointment within a specific academic department, program, or institution.
-
E.
establishedAsFaculty
Indicates that an individual has been formally appointed or recognized as a member of an institution’s faculty.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea365a8481909635f614b23e751f |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:21 p.m.